David Katzman shares product and customer updates about Onshape cloud-native CAD and Arena product lifecycle management software from PTC, including how manufacturers use the tools to connect product data and workflows.
David Katzman is most useful for product and customer updates about Onshape cloud-native CAD and Arena PLM software.
Best for
A cloud-native CAD or PLM company needs customer-story content for engineering and manufacturing buyers.
Not for
A consumer lifestyle brand wanting sponsored posts to young consumers with verified reach and paid placements.
Key takeaways
hibot moved from file-based CAD and on-premises PLM to Onshape and Arena.
FlightWave reported nearly $1 million in estimated annual operational impact from reduced rework and fewer errors.
Release posts explain Arena Connect connects business systems and Onshape links PCB designs with mechanical work.
Check first: Confirm how the FlightWave estimate was validated and whether their audience matches your buyers.
Main ideas
Keep product information connected as manufacturing grows · Make integrations useful by tying them to a real workflow · Treat AI as part of a specific design or review task
David Katzman shares updates about Onshape cloud-native CAD and Arena product lifecycle management (PLM) software.
In four posts, they explain product releases and how manufacturers use connected tools to manage design data, changes, and workflows.
The posts show two recurring formats: concise release news and customer stories that connect a business problem to a product-based response.
Katzman’s customer stories make technical software decisions legible through operational problems.
In the hibot example, file-based CAD and on-premises PLM could not support a distributed robotics business; the post explains how connecting Onshape and Arena addressed data silos, then names the resulting benefits of faster collaboration and better traceability.
The FlightWave story offers a different kind of proof: it reports nearly $1 million in estimated annual operational impact, explicitly linking the estimate to reduced rework, fewer production errors, and stronger change control.
The figure is an estimate, not an independently verified result; ask how it was validated.
Their release posts also translate product names into jobs they are meant to do, from connecting business systems with Arena Connect to linking PCB designs with mechanical work in Onshape.
Follow this work for product and customer updates that frame CAD and PLM in terms of manufacturing workflows.
Across four LinkedIn posts, David Katzman presents connected product data as a practical answer to manufacturers’ growing complexity.
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The examples emphasize keeping engineering, manufacturing, suppliers, and other business systems aligned, and show how customers use cloud-based CAD and product lifecycle management (PLM) to improve collaboration and traceability. They also highlight AI and integrations for specific design, review, and coordination tasks.
Keep product information connected as manufacturing grows
Katzman’s customer stories frame disconnected files and systems as barriers to coordination.
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They present connecting CAD and PLM as a way to give engineering, manufacturing, and suppliers a shared product record—not merely as a software upgrade.
In the hibot post, the company’s file-based CAD and on-premises PLM are described as unable to keep up as it grew from a research organization into a distributed manufacturer of inspection robots. Connecting Onshape and Arena is credited with faster collaboration, better traceability, and greater confidence that teams use the same data.
Make integrations useful by tying them to a real workflow
Katzman highlights connections between tools by the work they enable or friction they remove: sharing changes, coordinating different disciplines, or avoiding middleware.
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They focus on linking product-development steps rather than treating each integration as an isolated feature.
The year-in-review post describes an Onshape-Windchill connection intended to reduce middleware and administrative overhead, an Onshape-Altium integration to synchronize mechanical and PCB design changes, and a connection between Onshape and NVIDIA Isaac Sim for robotics design-to-simulation.
Treat AI as part of a specific design or review task
These posts present AI through features embedded in existing product workflows.
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The examples focus on what the tools are meant to help users do.
The year-in-review post describes an Arena AI Engine for document review and comparison, an Onshape AI Advisor inside the design environment, and a FeatureScript MCP Server intended to help teams turn natural-language requests into custom CAD functionality.
Show the operational stakes of product-data control in regulated work
Katzman connects revision and change control to the practical demands of aerospace and other regulated manufacturing.
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The customer example reports nearly $1 million in estimated annual operational impact; buyers should ask how the estimate was calculated.
The FlightWave post says that as the aerospace company scaled, it needed better management of product data and change processes across engineering, manufacturing, supply chain, and quality. It describes standardizing on Arena PLM for AWS GovCloud and reports nearly $1 million in estimated annual operational impact through reduced rework, fewer production errors, and stronger change control.
This single list answers "what has this person actually shipped?" across CAD, PLM, AI, and robotics partnerships.
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A roundup lists the year's product milestones as eleven named items: Onshape Labs and a FeatureScript MCP server that turns natural language into custom CAD functionality; Arena's placement as a Visionary in a Gartner Magic Quadrant for PLM software; a new Melbourne office; Reditus Space adopting Onshape for reusable spacecraft development; a robotics design-to-simulation workflow built with NVIDIA's Isaac Sim; Arena GovCloud on AWS; an Arena AI Engine for document review; cloud-native Model-Based Definition and an Onshape AI Advisor inside the design environment; an Onshape-Windchill connection; Arena Connect; and an Onshape-Altium integration for PCB work.
Each item names a capability and the practical job it does, rather than a version number.
The post closes by asking readers which milestone mattered most to them.
For brands planning a campaign
The list doubles as an inventory of launch narratives a product marketing hire could sequence into demand content: AI-assisted design, regulated-industry PLM, and cross-tool integration each have a distinct storyline.
The customer-story format explains a migration decision rather than a feature.
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A customer story about hibot, a company building inspection robots that grew from a research organization into a distributed manufacturing operation.
The post frames the problem in operational terms: file-based CAD and on-premises PLM could not keep up, and information sat in silos across engineering, manufacturing, and suppliers.
It then describes how connecting Onshape and Arena created a single source of truth, enabling faster collaboration, better traceability, and confidence that everyone works from the same data.
The post is short, follows a problem-to-outcome structure, and links to a longer account.
For brands planning a campaign
A template for a "before and after" story: name the specific systems being replaced, the business condition that forced the change, and the resulting collaboration benefit—without leaning on benchmark numbers.
The story leads with a hard number, making it a useful comparison with the hibot story, which has none.
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A customer story about FlightWave Aerospace, which works on autonomous aircraft, including an Edge 130 VTOL drone sold into commercial, defense, security, and intelligence applications.
The post describes the operational problem—managing product data, revisions, and change processes across engineering, manufacturing, supply chain, and quality as the company scaled—and the fix: standardizing on Arena PLM for AWS GovCloud.
It claims a single source of truth and nearly $1M in estimated annual operational impact through reduced rework, fewer production errors, and stronger change control, and links to a longer write-up.
For brands planning a campaign
Quantified customer outcomes can support demand content for regulated or defense-adjacent buyers. Treat the number as a company estimate and preserve that framing.
A short release announcement is the format this person posts most often; it shows how a single capability is introduced and credited.
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A release announcement for Arena's 2026.2 version.
It leads with Arena Connect, a capability for connecting the systems manufacturers already use, automating workflows, and moving product information across the lifecycle.
The post also notes AI-powered features, supply chain intelligence, and tighter Onshape-Arena integration.
It thanks customers for feedback that shaped the platform, congratulates the Arena team, and links to further detail.
For brands planning a campaign
The structure—one flagship capability, two supporting themes, team and customer credit, and a link out—offers a repeatable cadence for a launch-driven content calendar.
Cloud-native CAD and PLM as one connected product record4
Scaling from research or engineering silos to distributed operations3
AI embedded in design and product-data workflows2
Regulated and aerospace manufacturing2
Ecosystem integrations and technical partnerships2
Product milestone roundups and release-led communication2
Cloud-native CAD and PLM as one connected product record
David Katzman's posts consistently frame Onshape and Arena as a connected system rather than separate tools.
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The recurring argument is that manufacturers need a single source of truth across engineering, manufacturing, supply chain, and quality. They make this case through Onshape-Arena integration, Arena Connect for connecting business applications and workspaces, the Onshape-Windchill Connection Beta for reducing middleware, and customer examples such as hibot replacing file-based CAD and on-premises PLM.
Explains product value through customer migrations and product-connection announcements rather than abstract PLM theory.
For brands planning a campaign
A campaign can evaluate whether David Katzman can turn integration and migration stories into demand content for operations leaders, not just engineering managers. A useful interview angle is the gap between connected product data as a promise and the specific process failures that make buyers act.
AI appears as a practical workflow feature inside existing tools.
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David Katzman's posts mention Onshape Labs for early access to new AI functionality, a FeatureScript MCP Server for turning natural language into custom CAD functionality, Arena AI Engine for automating document review and comparison, Onshape AI Advisor embedded in the design environment, and AI-powered capabilities in the Arena 2026.2 release.
Lists AI features alongside the engineering or document workflow each is meant to improve.
For brands planning a campaign
These examples connect AI to specific engineering and compliance tasks. A campaign can test whether David Katzman can explain AI as reduced review time, fewer errors, and faster change handling rather than generic automation claims.
A distinct topic is product development for regulated industries.
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The posts announce Arena GovCloud on AWS, connect that government-cloud option to FlightWave Aerospace's Edge 130 VTOL drone for commercial, defense, security, and intelligence applications, and describe FlightWave's move to Arena PLM for AWS GovCloud as producing a single source of truth and nearly $1M in estimated annual operational impact through reduced rework, fewer production errors, and stronger change control.
Uses a named customer case with a regulated-industry problem, a cloud-compliance solution, and quantified operational outcomes.
For brands planning a campaign
A brand selling into aerospace, defense, or other regulated manufacturing can use this topic to test David Katzman's ability to write compliance and traceability content with concrete operational stakes. Ask how they select and qualify customer impact numbers.
Scaling from research or engineering silos to distributed operations
Several posts focus on what changes when a company grows beyond its original systems. hibot is described as moving from a research organization to a global manufacturing operation that outgrew file-based CAD and on-premises PLM.
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The posts also mention a Melbourne office to support cloud-native CAD and PDM demand, expanded supply chain intelligence, and stronger Onshape-Arena integration for manufacturers building a connected digital product ecosystem.
Frames adoption around a growth problem, then shows the system change and the collaboration result.
For brands planning a campaign
This topic supports campaign content aimed at companies at a scaling inflection point. Ask David Katzman to identify the trigger events—global expansion, supplier complexity, traceability gaps—that make cloud-native product development a buying priority.
David Katzman's posts repeatedly highlight connections to other engineering tools and platforms.
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Examples include a robotics design-to-simulation workflow with NVIDIA Isaac Sim, the Onshape-Windchill Connection Beta, the Onshape Direct Altium Integration for PCB collaboration, and Arena Connect. The through-line is reducing middleware, synchronizing changes, and keeping electrical, mechanical, and product-data workflows aligned.
Pairs each integration with the workflow friction it is meant to remove.
For brands planning a campaign
These examples can help assess whether David Katzman can write technical partnership content that explains buyer value without becoming a feature list. Ask how they choose which integrations deserve a story and which are release-note material.
Product milestone roundups and release-led communication
David Katzman's posts focus on company and product communication: an annual year-in-review list covering Onshape Labs, an Arena Gartner Magic Quadrant placement, a new Melbourne office, customer wins, AI features, Model-Based Definition, and integrations, plus a focused release post for Arena 2026.2 that groups Arena Connect, AI capabilities, supply chain intelligence, and Onshape-Arena integration.
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Groups multiple announcements into a single roundup or release narrative, often with a customer or team congratulation.
David Katzman's posts focus on company, product, and customer-story communication rather than standalone opinion essays, how-to guides, or independent commentary.
For brands planning a campaign
This format is directly relevant to a product marketing role that needs repeatable demand content around launches, customer proof, and roadmap themes. Test whether David Katzman can move beyond milestone lists into buyer-specific narratives and measurable calls to action.
The posts place Katzman at PTC, where they write about the company's Onshape cloud-native CAD and Arena PLM products and the manufacturers that use them.
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The posts do not disclose sponsorships, affiliate arrangements, or investments; ask about any such relationships.
PTC
Employment
Katzman writes that October marks the start of FY'27 at PTC and calls the post the annual year-in-review tradition, thanking "an amazing team and fantastic customers."
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This is the only statement in the posts about where they work; ask for their title.
Onshape is PTC's cloud-native CAD and PDM product.
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Katzman reports its releases as part of PTC work: Onshape Labs and the FeatureScript MCP Server, cloud-native model-based definition, the Onshape AI Advisor, and the Reditus Space customer win. The posts present these as company announcements.
Arena by PTC is the PLM product Katzman posts about: the 2026.2 release and Arena Connect, GovCloud for regulated industries, the Arena AI Engine, and a Gartner Magic Quadrant placement.
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They congratulate the Arena team on the release and credit customer feedback.
Katzman describes FlightWave Aerospace, a Red Cat company, standardizing on Arena PLM for AWS GovCloud and estimating nearly $1M in annual operational impact from reduced rework and stronger change control.
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They write that PTC is proud to support teams like FlightWave.
Katzman describes hibot replacing file-based CAD and on-premises PLM with Onshape and Arena as it moved from a research organization to a global manufacturing operation building inspection robots.
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The post is a customer story about the two PTC products.
Start with David Katzman's customer examples, then explore their product roundups.
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The customer stories show why manufacturers move from file-based CAD and on-premises PLM to connected cloud systems: hibot needed a single source of truth across engineering, manufacturing, and suppliers, while FlightWave Aerospace used Arena PLM for AWS GovCloud to tighten change control in regulated aerospace work.
The roundups show recurring priorities: connecting Onshape and Arena, linking CAD and PLM to other engineering tools, and embedding AI in concrete design or document-review tasks.
If you follow manufacturing software, digital transformation, or aerospace product development, start with the customer posts for operational context, then use the year-in-review and release posts to see which product areas they return to.
Parton also writes about manufacturing execution and digital transformation in aerospace.
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His 'womb to tomb' tracker post describes connecting planning, NC programming, manufacturing engineering, machining, quality, and inventory in one operational picture. His Spirit Defense post covers digital solutions across supply chain, engineering, manufacturing, and program execution—close to Katzman's emphasis on connected product data and cross-functional alignment.
Parton writes from inside a manufacturer's program-management and digital-transformation effort, focusing on process adoption, leadership, and execution. Katzman's posts center on vendor-side product and customer communications about cloud CAD/PLM features, integrations, and customer outcomes.
Macmeikan covers AI and digital change in manufacturing and supply chain, with aerospace and defense examples.
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She cites Accenture research on generative AI affecting supply chain processes and promotes Farnborough airshow demos of GenAI for supply chain resilience, engineering, and manufacturing. Katzman also highlights AI and aerospace/defense manufacturing.
Macmeikan's perspective is consulting- and industry-event-led, with a supply-chain and defense-industry lens. Katzman focuses more closely on CAD/PLM product workflows and customer product-data stories than on consulting research or airshow programming.
Beacham also serves a manufacturing audience with explanatory posts and interviews about technology adoption, SME growth, and production improvement.
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His GTMA/BTMA Manufacturing Solutions event post and Insights4Mfg interview with Adam Payne discuss manufacturing growth challenges, technology priorities, and supply-chain issues.
Beacham focuses on event promotion, interviews, and recruiting/media work for UK manufacturing, especially SMEs. Katzman's posts cover cloud CAD/PLM products and customers, detailing software capabilities and operational results.
Placement decision: David Katzman is worth assessing for a cloud PLM/CAD product-marketing campaign.
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Their recent posts address product-development, engineering, manufacturing, and PLM/CAD readers, but don’t establish whether their audience includes the buyers, job functions, or seniority levels your campaign needs.
The only published audience figure is 4,431 LinkedIn followers, observed on October 8, 2026.
The four posts, dated July 29–October 7, 2026, are Onshape and Arena customer-story and product-update posts—useful writing samples for demand content, not evidence of audience composition.
Before placing them, ask for recent comparable results—impressions, engagement rate, follower growth, and audience survey or platform demographic data covering job function, seniority, industry, and geography.
Without that evidence, treat the placement as a content-quality test with a small paid pilot, not an assumed audience match.
David Katzman’s four LinkedIn posts are vendor-side product and customer marketing for Onshape cloud-native CAD and Arena PLM from PTC: a fiscal-year highlights post, an Arena 2026.2 release announcement, and two customer case stories covering FlightWave Aerospace and hibot.
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The company and product hashtags identify Katzman’s employer’s products, not paid placements.
The posts do not promote sponsorships or creator partnerships, and include no official partnership or inquiry page, commercial terms, rates, deliverables, or booking process.
Buyers should ask directly whether Katzman accepts partnerships and negotiate any terms.
The posts position them as a subject-matter operator in cloud-native product development, not as a creator with a published partnership program.
Worth assessing for a product-marketing or subject-matter role; the posts do not evidence paid creator placements.
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Brief
A cloud-native CAD or PLM company needs customer-story content for engineering and manufacturing buyers, especially teams weighing a move from disconnected systems to connected product data.
Next step
Use a small, paid content assignment or interview exercise. Ask for the underlying customer evidence, the buyer and approval process for each claim, and examples of how they would adapt the story for engineering leaders versus operations or quality leaders. If the campaign depends on distribution, request audience and performance data before committing.
Why
The posts use a customer-story structure suited to this work. The hibot post explains the trigger for change—file-based CAD and on-premises PLM could not keep pace as the robotics company grew—then connects Onshape and Arena to shared product information, traceability, and collaboration. The FlightWave post links a scaling problem across engineering, manufacturing, supply chain, and quality to Arena PLM for AWS GovCloud. It reports nearly $1M in estimated annual operational impact, so any reuse should preserve the estimate and its attribution rather than present it as independently verified. The release and year-in-review posts also show experience organizing product capabilities into launch narratives. These posts support testing their ability to turn product and customer material into demand content. Before committing to distribution, request audience demographics and performance data; the posts do not describe a sponsorship offering.
When to choose a specialist
Poor fit on the available information.
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Brief
A consumer lifestyle brand wants a creator to deliver sponsored posts to a verified audience of young consumers, with demonstrated reach and paid-placement formats.
Next step
Choose a creator with demonstrated consumer-lifestyle work, verified audience composition, and documented paid-placement terms. Reconsider Katzman only if the brief changes to industrial product marketing or a subject-matter collaboration, and verify audience fit if distribution remains a requirement.
Why
The posts cover cloud CAD, PLM, manufacturing workflows, product releases, and industrial customer stories. They do not demonstrate lifestyle content, consumer-facing storytelling, or a published sponsorship format. Katzman's LinkedIn profile reports 4,431 followers, but no engagement results or audience breakdown; that figure cannot establish access to the campaign's target consumers. If considering a creator partnership, ask for audience data and sponsorship terms.
A worked campaign example
Angle
When a robotics company outgrows file-based CAD: the operational changes needed to connect engineering, manufacturing, and suppliers.
Brief
A cloud PLM/CAD company wants a customer-story pilot for manufacturing leaders whose engineering, production, and supplier data are split across older systems.
Execution
Interview the customer about the specific growth or coordination problem that made the old setup insufficient; map where product information and revisions moved between teams; then document how the Onshape-Arena connection changed collaboration and traceability. Use the hibot post as a starting point, not as a substitute for customer reporting. Confirm the customer's own language, permissions, before-and-after details, and any measurable result before making claims. Deliver a concise customer article, a short social post, and an interview-based checklist of questions for manufacturers considering a similar transition. Assess their ability to produce these deliverables in the pilot; the posts demonstrate the problem-to-outcome structure but do not show this specific work.
Interview plan
What evidence shows the old systems were failing, and who inside the customer organization felt the cost?
Which process or information handoff changed after connecting the systems?
What outcome can the customer substantiate, and what wording or figures require qualification?
How would you make the story useful to a manufacturing leader without turning it into a feature list?
Choose Parton when a campaign needs an operations-side voice with firsthand experience of the shift from disconnected systems to one shared picture.
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Their post describes building an SAP-fed production execution tracker that connected planning, NC programming, manufacturing engineering, order release, material issuance, machining, outside processing, quality inspection, and final inventory.
It argues that the collaboration the tracker enabled mattered more than the tool.
For campaigns showing engineering and manufacturing leaders how connected product data changes workflows, that firsthand account speaks to adoption, cross-functional alignment, and work readiness, while Katzman's customer stories move more quickly to the outcome.
Parton writes as a manufacturer's employee about internal programs, not as a vendor producing third-party customer stories.
The posts show no product-marketing deliverables or commissioned customer content.
The stated employer, Spirit Defense, a Boeing Company, makes conflict clearance and availability a genuine question for a CAD or PLM vendor campaign.
Choose Macmeikan when a campaign needs enterprise or consultancy-level framing of where generative AI fits across the supply chain: design and engineering, planning, sourcing and procurement, production, and fulfillment.
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The target is defence, aerospace, and supply-chain leadership rather than one plant's engineering team.
The posts cite Accenture research that generative AI could automate or augment 58 percent of supply chain processes, and a Farnborough International Airshow showcase with live demos.
That suits thought-leadership or event-anchored demand content built on a research narrative.
The available posts are short promotional and vision pieces in a large consultancy's institutional voice.
They lack the close, customer-specific before-and-after reporting a campaign needs, so a vendor would still have to supply customer proof and approval details.
The firm's posts present its claims, not the author's independent findings.
Choose Beacham when a campaign leans on event presence and interviews to reach UK SME manufacturers and their suppliers.
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Beacham promotes a free Manufacturing Solutions UK and Make Measurement Matter event at Yamazaki Mazak's Worcester site, featuring keynote speaker Mark Ridgway of Group Rhodes on global manufacturing supply chains and government engagement.
They also host the Insights4Mfg interview series, including an episode with Adam Payne of New Way Growth on SME growth challenges, technology adoption, and performance metrics.
That suits a demand brief seeking conversations, video soundbites, and a manufacturing audience rather than a single customer article.
The posts promote an event and summarize an episode.
They do not demonstrate cloud CAD or PLM customer-story work.
The audience skews toward UK SME manufacturing, event-going suppliers, and manufacturing recruitment, which may sit outside a global cloud-native product-development buyer task.
Ask for audience size, engagement results, and paid availability.
Four full LinkedIn posts by David Katzman cover cloud-native CAD, Arena PLM, customer examples, and product releases.
The posts' publication dates are not stated, and no transcripts, other channels, or earlier archive material appear here, so this is a small product-focused sample rather than a full record of the person's work.
Customer figures quoted in the posts are attributed to the companies that reported them and are treated as estimates, not independently verified results.
No targeted name-search information on signature books, shows, businesses, or earlier roles appears here, leaving that an open gap.
This page describes what the posts say and does not verify employers or credentials beyond them.